Target detection method and device based on quantitative model
A quantitative model and target detection technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of increased error and large error of the model's detection results, and achieve the effect of improving accuracy
Active Publication Date: 2022-04-22
UNIV OF SCI & TECH BEIJING
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However, in the prior art, the quantized model has a larger error than the unquantized model, that is, the error of the detection result of the quantized model will increase
[0003] In the process of realizing the concept of the present disclosure, the inventors found that there are at least the following technical problems in related technologies: the detection results of the quantized model have a large error problem
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[0036] Hereinafter, the present disclosure will be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.
[0037] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence.
[0038] The method embodiments provided by the embodiments of the present disclosure may be executed in a computer terminal or a similar computing device. Take running on a computer terminal as an example, figure 1 It schematically shows a hardware structure block diagram of a computer terminal of a quantitative model-based target detection method according to an embodiment of the present disclosure. Such as figure 1 As shown, the ...
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The present disclosure relates to a target detection method and device based on a quantitative model. The method includes: acquiring a target model and a test data set corresponding to the target model; and performing a quantization operation on the target model by using a post-training quantization method to obtain a quantitative model ; Input the test data set into the quantification model, output the detection result, and count the deviation value of the detection result; Process the deviation value by the curve fitting method, obtain an optimization function, and pass the optimization function The quantization model is optimized. The above technical means are used to solve the problem of large errors in the detection results of the quantized models in the prior art.
Description
technical field [0001] The present disclosure relates to the field of artificial intelligence, and in particular to a method and device for target detection based on a quantitative model. Background technique [0002] In order to make the model applicable to various scenarios, the model is often quantified. Model quantization has the following advantages: the quantized model only requires less storage overhead and bandwidth requirements, that is, it uses fewer bits to store data, effectively reducing the application's dependence on storage resources; the quantized model can reduce the power of model operation consumption; the quantized model has a faster calculation speed. However, in the prior art, the quantized model has larger errors than the unquantized model, that is, the error of the detection result of the quantized model will increase. [0003] In the process of realizing the concept of the present disclosure, the inventors found that there are at least the followi...
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IPC IPC(8): G06V10/28G06V10/774G06V10/776G06K9/62
CPCG06F18/214
Inventor 刘艳林金辉王恒张梁凤
Owner UNIV OF SCI & TECH BEIJING